At a Glance
- Tasks: Collaborate on geomechanics projects and evaluate modelling tools for fractures and faults.
- Company: Join SLB, a global leader in energy innovation for a balanced planet.
- Benefits: Gain hands-on experience, mentorship, and contribute to sustainable energy solutions.
- Other info: Dynamic team environment with opportunities for growth and learning.
- Why this job: Make a real impact in the energy sector while developing your skills in numerical modelling.
- Qualifications: Pursuing a PhD in Numerical Modelling, Rock Mechanics, or related fields.
The predicted salary is between 20000 - 30000 £ per year.
Location: Abingdon, Oxfordshire
Description & Scope:
The intern collaborates with the geomechanics team in AbTC, which develops Visage – a finite element geomechanics simulator. Understanding the complex mechanical behaviour of fractures and faults induced by subsurface operations is crucial for providing timely insights to support operational decisions. While numerical simulators are the most common approach, users must be aware of both their capabilities and limitations. Before releasing any new modeling feature in the simulator, it is essential to evaluate its robustness and accuracy.
Responsibilities:
- Evaluate and compare the commercial and pre-commercial modeling tools for mechanical discontinuities provided by Visage and Petrel geomechanics. These tools include the equivalent material model, multilaminate model, and interface elements.
- In collaboration with the geomechanics team, define a set of geomechanical models in Petrel, which will involve specifying geometrical configurations, field management strategies (e.g., production or storage), and rock material properties.
- Numerical tests will be conducted using either a personal computer or the AbTC internal cluster.
- At the conclusion of the project, the intern will produce a technical report detailing the results.
Qualifications:
- Studying a PhD in Numerical Modeling, Rock Mechanics, Physics or a related discipline
- Oral and written communication skills in English
- Good motivation, autonomy, teamwork, and ingenuity
- Numerical Modelling expertise
- Geomechanics and/or Rock Physics
- Finite Element
Data Scientist Intern (6 months) in Abingdon employer: SLB
At SLB, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Abingdon. As a Data Scientist Intern, you will have the opportunity to work alongside leading experts in geomechanics, contributing to groundbreaking projects that aim to balance energy demands with environmental sustainability. With a strong focus on employee growth and development, we provide a supportive environment where your ideas can flourish, making a meaningful impact on the future of energy.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Intern (6 months) in Abingdon
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
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We think you need these skills to ace Data Scientist Intern (6 months) in Abingdon
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at SLB will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at SLB
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress SLB.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show SLB that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
